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Jefferson
Barlew
VP, Delivery for AI/ML
Innodata
Jefferson Barlew is the VP of Delivery for AI/ML Data at Innodata, where he leads cross-functional teams to develop human-in-the-loop data pipelines for AI and machine learning applications. With a background in linguistics, Jefferson specializes in natural language processing, taxonomies, ontologies, and information extraction, with a particular interest in eCommerce and industrial manufacturing. He has previously led research and development teams at Appen and held roles at AWS, focusing on generative AI and large language models.
09 October 2025 13:00 - 13:30
Panel | Defining and ensuring "high-quality data” in the context of modern AI systems
In modern AI systems, “high-quality data” is more than accuracy - it’s about relevance, diversity, governance, and adaptability over time. This panel brings together data scientists, engineers, and AI leaders to define what quality truly means in the era of generative and agentic AI. Panelists will share practical methods for building robust data pipelines, leveraging synthetic data, and implementing governance frameworks that support scalable, compliant, and high-performing AI workloads.

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